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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # QA Automation Engineer - **Company:** NTT Ltd. - **Location:** Barcelona, Spain - **Salary:** €30,000.0 - €32,000.0 - **Contract:** Permanent contract - **Skills:** Agile Methodology, Artificial Intelligence, Airflow, Automation of Tests, Cloud Database, Profiling, Data Validation, Data Integrity, Extract Transform Load (ETL), Data Systems, Regression Testing, SQL Databases, Data Streaming, Workflow Management Systems, Snowflake, Git, AWS Glue, Data Management, Data Inconsistencies, Software Version Control, Data Pipelines, Databricks - **Published:** July 22, 2026 - **Apply:** https://www.adzuna.es/contact-us.html ## About the Role Requirements:6-10+ years of QA automation experience in data-intensive or analytics-focused environments.Strong proficiency in SQL for data validation, profiling, and regression testing.Hands-on experience with Python for automation scripting and data quality frameworks.Extensive experience testing ETL/ELT pipelines and cloud-based data workflows.Familiarity with CI/CD pipelines, version control (Git), and automated execution environments.Strong analytical, problem-solving, and troubleshooting skills.Excellent written and verbal communication skills.Experience with Snowflake and at least one test automation framework; knowledge of Databricks, ADF, AWS Glue, streaming platforms, or orchestration tools is a plus.Benefits:Competitive annual compensation: $30,000 - $32,000 USD.Remote-first role with flexible working hours and autonomy.Opportunity to design and implement scalable data QA frameworks.Exposure to modern cloud-based analytics platforms and automation tools.Collaborative ## Description Inscribirse en esta oferta This position is posted by Jobgether on behalf of a partner company. We are currently looking for a QA Automation Engineer (Data) in Spain.This role offers an exciting opportunity to ensure data quality and reliability across complex, large-scale data pipelines in a fast-paced, analytics-driven environment. You will design, develop, and maintain automated testing frameworks for ETL/ELT workflows, validate data integrity, and implement monitoring for streaming and batch pipelines. Your contributions will directly impact the accuracy, consistency, and performance of mission-critical data systems. This position combines hands-on automation, SQL-based data validation, and collaboration with cross-functional engineering teams to solve challenging data quality problems. It is ideal for someone passionate about building scalable testing solutions, driving best practices in QA, and working in a remote, flexible, and highly collaborative setting. You will help accelerate the delivery of trustworthy data for analytics and AI initiatives.Accountabilities: + Design, develop, and maintain automated test frameworks for ETL/ELT and streaming data workflows. + Build reusable components for Snowflake, Databricks, ADF, Airflow, and other data platforms. + Automate regression tests, schema validation, data contract checks, and monitoring of data quality. + Validate data accuracy, completeness, and consistency across ingestion, transformation, and downstream layers. + Perform root-cause analysis for data inconsistencies and collaborate with engineers to implement corrective actions. + Participate in Agile ceremonies, review requirements, estimate tasks, and verify deployment outcomes. + Document QA best practices and create reusable testing assets to elevate overall data quality standards. ## Related Videos - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [AI as a Test Designer: Transforming Experience into Automated Testing](https://www.wearedevelopers.com/videos/1984-ai-as-a-test-designer-transforming-experience-into-automated-testing) - [How we built an AI-powered code reviewer in 80 hours](https://www.wearedevelopers.com/videos/1511-how-we-built-an-ai-powered-code-reviewer-in-80-hours) - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - [Enjoying SQL data pipelines with dbt](https://www.wearedevelopers.com/videos/823-enjoying-sql-data-pipelines-with-dbt) - [Tips, Techniques, and Common Pitfalls Debugging Kafka](https://www.wearedevelopers.com/videos/838-tips-techniques-and-common-pitfalls-debugging-kafka) ## Related Articles - [The 8 Best Code Testing Tools](https://www.wearedevelopers.com/magazine/402-the-8-best-code-testing-tools) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [The Most Popular IT Jobs on the Market](https://www.wearedevelopers.com/magazine/376-the-most-popular-it-jobs-on-the-market) - [Best US AI Conferences for CTOs in 2026: Build vs. Buy, Vendor Evaluation, and Peer Intelligence](https://www.wearedevelopers.com/magazine/736-best-us-ai-conferences-for-ctos-in-2026-build-vs-buy-vendor-evaluation-and-peer-intelligence) - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers)